Home » Data Science » Machine Learning » In some studies, you may have to compute the Positive predictive value (PPV) from the sensitivity, specificity and prevalence. Q: Practice More Questions From: Evaluating Machine Learning Models Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 2000+ Qs Machine Learning 1000+ Qs Created with Fabric.js 4.6.0 Similar Questions If sensitivity = 0.9, specificity = 0.8, and prevalence = 0.2, then what is the accuracy?What is the sensitivity and specificity of a pneumonia model that always outputs positive? In other words, the models says that every patient has the disease.What is the PPV and sensitivity associated with the following confusion matrix?What is the sensitivity and specificity of a model which randomly assigns a score between 0 and 1 to each example (with equal probability) if we use a threshold of 0.7?Now that you have some idea of the questions the stakeholders may ask, you consider potential objections. How do you ensure you are prepared for any potential objections? Select all that apply.For every specificity, as we vary the threshold, the sensitivity of model 1 is at least as high as model 2. Which of the following must be true?You have a model such that the lowest score for a positive example is higher than the maximum score for a negative example. What is its ROC AUC?A data analyst is working with a data frame named retail. It has separate columns for dollars (price_dollars) and cents (price_cents). The analyst wants to combine the two columns into a…You are working with the penguins dataset. You want to use the summarize() and max() functions to find the maximum value for the variable flipper_length_mm. You write the following…You are working with the penguins dataset. You want to use the summarize() and min() functions to find the minimum value for the variable bill_depth_mm. You write the following code:penguins…You are working with the penguins dataset. You want to use the summarize() and mean() functions to find the mean value for the variable body_mass_g. You write the following code:penguins…Fill in the blank: Before creating predictive models to identify trends and inform best practices, a company must _____ using metrics.Assume you have missing data on one of your features, and are considering two options: True or False: "Both options have the same performance".You find that your training set has 70% negative examples and 30% positive. Which of the following techniques will NOT help for training this imbalanced dataset?Compute the F1 score for pneumonia and mass separately based on the following retrieved labels and ground truth: Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 200+ Qs Machine Learning 100+ Qs